We’re aiming for #1 in crypto trading. To get there, we need the best brains in the game.
1% global trading volume ($5B day)
High Stakes, High Impact
Challenge
We are in the top 10 crypto trading companies in the world. We are aiming to be #1.
High-Agency
You will influence the trajectory of the whole company.
Exposure
Working day-to-day directly with the co-founders & CEO.
Our Operating System
Transparency
We are no BS: You will never have to deal with politics, bureaucracy and lack of transparency here. Full visibility into everything including PnL attributions.
Geeky, tech heavy culture
We love to talk about nano seconds, construct catapults during retreats, and bet on everything in our #betting-culture slack channel.
Money
Equity, transparent & uncapped bonuses tied to your contribution to PnL, participation in our fund.
Commitment: Skin in the game
The team building the algorithms also back them, with their own capital.
They’re not corporate suits. They’re hands-on founders with real skin in the game, unique stories, and a shared mission: to shape the future of crypto through code, conviction, and creativity. At Wincent, you won’t be a tiny cog in a giant machine. You’ll join a high-performance team where decisions move fast, strategies ship in days, and your work matters from day one.
Matus Kopf
Co-Founder & Chief Investment Officer
A trader-turned-builder, Matus honed his edge in European equity markets and emerging economies, specializing in market making, order flow, and real-time execution. Fluent in game theory, pattern recognition, and professional poker, he treats trading like a high-stakes strategy game and he’s always playing to win.
Matus Kopf
Co-Founder & Chief Investment Officer
A force behind the fund’s research engine, Michal leads the Developers Research Group, translating frontier theory into competitive code. A former International Mathematics Olympian, his algorithms don’t just compute, they compete.
Ambition
Yes, today, we can’t compare ourselves to Citadel or Jump. But, tomorrow, we want to be #1.
You’ve got to be a little crazy to join us on our mission.
Forget best practices, we’re all self–taught, we never heard of them. Nobody will tell you exactly what to do and how to do it, you’ll need to figure it out.
Quant team
We are looking for senior quants with experience in HFT trading in one of the top firms. Top-tier skill. Full ownership. Zero hand-holding.
Quant Challenges at Wincent
At Wincent, the bar is high and that’s what makes it fun. You work directly with the founders, test strategies that go live within days, and see exactly how your code drives PnL. It’s high trust, zero politics, and full transparency.
Jakub
Senior Quantitative Reseacher
PS: You won’t find our Quants or Traders on LinkedIn, but you’ll meet them during interviews. Ask them why, and they’ll tell you more about our extremely high security standards.
Wincent isn’t for everyone. But maybe it’s for you.
Interested in joining us? Explore our current openings
Featured Insights
A closer look at the people, ideas, and momentum behind our trading edge.
Wincent at Major Crypto Events
We host our own curated events at the largest crypto conferences; creating space for real conversations, smart people, and zero fluff.
Token2049 Dubai
May 2025
Consensus Hong Kong
February 2025
Consensus Toronto
May 2025
Frequently Asked Questions
What types of strategies does Wincent focus on?
Our focus is on systematic, data-driven strategies spanning short- to mid-frequency horizons:
- Market-microstructure–informed alpha & statistical arbitrage
- Machine-learning–based signal discovery
- Robust portfolio construction across global markets
- Scalable execution frameworks that adapt to regime shifts
We prioritize strategies where engineering, clean data, and experimentation speed create a measurable competitive edge.
How much freedom do researchers have in exploring new ideas?
A lot. Wincent is structured to encourage bottom-up hypothesis generation. Researchers are expected to:
- Propose signals
- Build rapid experiments
- Challenge assumptions
- Push new datasets and models forward
The culture rewards initiative and scientific rigor.
What datasets are available?
High-resolution market data across most crypto products and chosen tradfi ones.
What does Wincent’s backtesting platform look like?
The internal platform is built for speed, repeatability, and security/safety:
- Accurate execution-cost modeling
- Configurable market impact assumptions
- Deterministic, version-controlled simulations
- Distributed compute for large sweeps
What is the typical research-to-production timeline?
You get an idea following the markets, you measure if you are right, you get an engineer that codes it up and you put on an AB test that you overseer. After that you have a discussion about results and decide if you roll it to prod.
How do you evaluate model performance?
Sharpe matters but clear reasoning and robustness matter more. We look for:
- Out-of-sample generalization
- Regime sensitivity
- Stability across liquidity conditions
- Clean attribution of alpha vs noise
What kind of compute resources do researchers get?
Our infra depends on the researcher not the other way around. Researchers have elastic access to:
- Scalable CPU & GPU clusters
- Automated job orchestration
- Shared libraries for feature engineering and modeling